CODEWITHSUNDEEP
algorithmstatisticsmachine-learningsvm
USB
USB

Reputation: 6139

How do I calculate the accuracy?

I am in the final stage of SVM implementation in Java.

I have 10 datasets and among that 3 points missclassified.

So what will be the equation to find accuracy?

Upvotes: 0

Views: 1850

Answers (2)

boskaiolo
boskaiolo

Reputation: 128

Accuracy is (TP + TN) / #samples, where:

  • TP are the true positives (actual value is +1, and it is classified as +1)
  • TN are the true negatives (actual value is -1, and it is classified as -1)

In classification tasks, beyond accuracy, many other measures are used to express the performance of a classifier, such as precision, recall, ROC, area under the ROC and F1 score.

You can find further information and equations here: http://en.wikipedia.org/wiki/Receiver_operating_characteristic and here: http://en.wikipedia.org/wiki/Accuracy_and_precision

Upvotes: 2

amit
amit

Reputation: 178521

The accuracy of the algorithm is: #samples_classified_correctly / #samples.

If you have 10 samples, 7 out of them are correctly classified your accuracy is 0.7.

However, note that 10 samples is not statistically enough to estimate expected accuracy for samples that you don't know their classification (in the "real world").

Upvotes: 1

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